Real-world road networks have an approximate scale-invariance property; can one devise mathematical models of random networks whose distributions are exactly invariant under Euclidean scaling? This requires working in the continuum plane. We introduce an axiomatization of a class of processes we call scale-invariant random spatial networks, whose primitives are routes between each pair of point...

The early decades of computing were marked by limited resources. However, as we enter the twenty-first century, silicon is offering enormous computing resources on a single die and molecular-scale devices appear plausible offering a path to even greater capacities. Exploiting the capacities of these modern and future devices demands different computational models and radical shifts in the way w...

A coupled modeling framework is used in this study to investigate the effect of subgrid-scale rainfall variability on the spatial structure of the evolving storm and on other surface variables and water and energy fluxes. The Fifth-Generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model coupled with the Biosphere–Atmosphere Transfer Scheme is combined w...

This paper studies the variability of deep-ocean mass transport using four 1000-yr integrations performed with coupled general circulation models. Statistics describing the spectral and spatial features are considered. It is shown that these features depend crucially on the time-mean state. For the transport of tropical and subtropical water masses in three of the integrations, the spectral lev...

The dynamics of spatial reaction systems that consists of many molecular species can be difficult to understand. Here we introduce a method that allows to observe the dynamics of a diverse spatial reaction system at different spatial scales. Using chemical organization theory we define for a given spatial location its so called spatial organization, which is the organization generated by the mo...

Based on data coming from mobile communication infrastructures, this paper proposes an analytical process aimed at extracting interconnections between different areas of the city that emerge from highly correlated temporal variations of population local densities. The proposed methods are experimented on two real scenarios of different spatial scale: the Paris Region and the whole France.

We conduct TinyTim modeling of NICMOS camera 2 PSFs to assess limits to the accuracy of PSF subtraction imposed by color dependence, OTA focus breathing, and cold mask wiggling. The results suggest that effects of both cold mask wiggling and focus breathing can be described as a noise in a PSF-subtracted image, well above 20% of the PSF signal in narrow band filters, with a spatial scale of a f...

In recent years, the area of plastic-mulched farmland (PMF) has undergone rapid growth and raised remarkable environmental problems. Therefore, mapping the PMF plays a crucial role in agricultural production, environmental protection and resource management. However, appropriate data selection criteria are currently lacking. Thus, this study was carried out in two main plastic-mulching practice...

Although we agree that a finer resolution analysis could improve our understanding of the C balance in Mexico, most current models and the driving data needed to force them are on either a 0.5x0.5 or 1x1 resolution or higher. In addition, increasing the spatial resolution may not necessarily yield better results, as finer-scale processes may or may not affect larger scale processes (e.g. landsl...

The habitat copying hypothesis states that animals use the reproductive performance of conspecifics to evaluate habitat quality and choose their future breeding site. We used data from Audouin’s Gull Larus audouinii (1992–2003), a species adapted to unpredictable environments, to analyse subcolony (as patch) choice within a colony (small spatial scale). We also assessed the suitability of alter...